numpy.ptp()函数用于通过找出给定数字的范围在统计中发挥重要作用。范围=最大值-最小值。
用法：ndarray.ptp(axis=None, out=None)
参数:
arr :input array.
axis:axis along which we want the range value. Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column and axis = 1 means working along the row.
out : [ndarray, optional]Different array in which we want to place the result. The array must have same dimensions as expected output.
返回：数组的范围(如果轴为空则为标量值)或数组的值沿指定轴的范围。
代码1：工作
# Python Program illustrating
# numpy.ptp() method
import numpy as np
# 1D array
arr = [1, 2, 7, 20, np.nan]
print("arr:", arr)
print("Range of arr:", np.ptp(arr))
1D array
arr = [1, 2, 7, 10, 16]
print("arr:", arr)
print("Range of arr:", np.ptp(arr))输出：
arr: [1, 2, 7, 20, nan] Range of arr: nan arr: [1, 2, 7, 10, 16] Range of arr: 15
代码2：
# Python Program illustrating
# numpy.ptp() method
import numpy as np
# 3D array
arr = [[14, 17, 12, 33, 44],
[15, 6, 27, 8, 19],
[23, 2, 54, 1, 4,]]
print("\narr:\n", arr)
# Range of the flattened array
print("\nRange of arr, axis = None:", np.ptp(arr))
# Range along the first axis
# axis 0 means vertical
print("Range of arr, axis = 0:", np.ptp(arr, axis = 0))
# Range along the second axis
# axis 1 means horizontal
print("Min of arr, axis = 1:", np.ptp(arr, axis = 1)) 输出：
arr: [[14, 17, 12, 33, 44], [15, 6, 27, 8, 19], [23, 2, 54, 1, 4]] Range of arr, axis = None: 53 Range of arr, axis = 0: [ 9 15 42 32 40] Min of arr, axis = 1: [32 21 53]
代码3：
# Python Program illustrating
# numpy.ptp() method
import numpy as np
arr1 = np.arange(5)
print("\nInitial arr1:", arr1)
# using out parameter
np.ptp(arr, axis = 0, out = arr1)
print("Changed arr1(having results):", arr1)输出：
Initial arr1: [0 1 2 3 4] Changed arr1(having results): [ 9 15 42 32 40]
相关用法
注：本文由纯净天空筛选整理自Mohit Gupta_OMG 大神的英文原创作品 numpy.ptp() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。